Exploration on the Training Path of Interdisciplinary Vocational Teachers for "AI + Biomedical Engineering" Empowered by Artificial Intelligence

Abstract

Against the background that the new generation of artificial intelligence technology is deeply integrated into the healthcare industry and engineering practice, the cross-integration of biomedical engineering and artificial intelligence has become the core driving force promoting the intelligent upgrading of intelligent medical treatment, precise diagnosis and treatment, rehabilitation engineering and medical equipment. It also puts forward new requirements for the talent training structure, specialty construction and teachers’ ability in the field of vocational education. At present, in China’s vocational education system, the specialty construction for the emerging interdisciplinary field of "AI + biomedical engineering" is still in its initial stage. Teachers generally face practical problems such as single disciplinary background, insufficient interdisciplinary knowledge reserve, lack of engineering practice and clinical application experience, disconnection between technical application ability and industrial development rhythm, which make it difficult to support vocational colleges to cultivate technical and skilled talents meeting the needs of the intelligent medical industry. Based on the overall requirements of high-quality development of vocational education, this study takes artificial intelligence technology empowering teachers’ ability improvement as the main line, systematically analyzes the practical dilemmas and deep-seated reasons faced by vocational teachers in the direction of "AI + biomedical engineering" in terms of knowledge structure, practical ability, training system and evaluation mechanism. Combined with multidisciplinary theories such as computer science, artificial intelligence application, biomedical engineering, clinical engineering technology and vocational education teaching theory, this study constructs an integrated interdisciplinary teacher training system covering ability standards, training mode, resource support and evaluation incentive, and explores feasible, popularizable and sustainable growth paths for vocational teachers. The research shows that by constructing a hierarchical and classified interdisciplinary ability model, innovating a mixed training mechanism integrating online and offline, building a shared resource platform coordinated by industry, university, research and medical treatment, and establishing a diversified evaluation and incentive system oriented to development, we can effectively make up for the ability shortcomings of current "AI + biomedical engineering" vocational teachers, promote the transformation of vocational education teachers to compound, technical, practical and innovative, and deliver qualified technical and skilled talents for posts such as intelligent medical equipment operation and maintenance, intelligent processing of medical images, clinical engineering technology and health data management. At the same time, it can also provide reference ideas and paradigms for the construction of vocational teachers in other emerging interdisciplinary fields.